

'''simple docstring'''






from __future__ import annotations


def 						_A	(       A__	,							A__ ):






 """simple docstring"""



 print(F"Vertex\tShortest Distance from vertex {src}" )
 for i, d in enumerate(A__ ):
  print(F"{i}\t\t{d}" )


def 						_A	(       A__	,							A__	,							A__ ):






 """simple docstring"""



 for j in range(A__ ):
  __lowercase    ,      __lowercase    ,      __lowercase				    =					(graph[j][k] for k in ['''src''', '''dst''', '''weight'''])
  if distance[u] != float('''inf''' ) and distance[u] + w < distance[v]:
   return True
 return False


def 						_A	(       A__	,							A__	,							A__	,							A__ ):






 """simple docstring"""



 __lowercase				    =					[float('''inf''' )] * vertex_count
 __lowercase				    =					0.0

 for _ in range(vertex_count - 1 ):
  for j in range(A__ ):
   __lowercase    ,      __lowercase    ,      __lowercase				    =					(graph[j][k] for k in ['''src''', '''dst''', '''weight'''])

   if distance[u] != float('''inf''' ) and distance[u] + w < distance[v]:
    __lowercase				    =					distance[u] + w

 __lowercase				    =					check_negative_cycle(A__	,							A__	,							A__ )
 if negative_cycle_exists:
  raise Exception('''Negative cycle found''' )

 return distance


if __name__ == "__main__":
 import doctest

 doctest.testmod()

 lowerCAmelCase__   		=      int(input('''Enter number of vertices: ''').strip())
 lowerCAmelCase__   		=      int(input('''Enter number of edges: ''').strip())

 lowerCAmelCase__   		=      [{} for _ in range(E)]

 for i in range(E):
  print('''Edge ''', i + 1)
  lowerCAmelCase__		,     lowerCAmelCase__		,     lowerCAmelCase__   		=      (
      int(x)
      for x in input('''Enter source, destination, weight: ''').strip().split(''' ''')
  )
  lowerCAmelCase__   		=      {'''src''': src, '''dst''': dest, '''weight''': weight}

 lowerCAmelCase__   		=      int(input('''\nEnter shortest path source:''').strip())
 lowerCAmelCase__   		=      bellman_ford(graph, V, E, source)
 print_distance(shortest_distance, 0)



from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


lowerCamelCase_    :			Optional[int]    =	{
    """configuration_graphormer""": ["""GRAPHORMER_PRETRAINED_CONFIG_ARCHIVE_MAP""", """GraphormerConfig"""],
}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowerCamelCase_    :			Union[str, Any]    =	[
							    """GRAPHORMER_PRETRAINED_MODEL_ARCHIVE_LIST""",
							    """GraphormerForGraphClassification""",
							    """GraphormerModel""",
							    """GraphormerPreTrainedModel""",
							]


if TYPE_CHECKING:
							from .configuration_graphormer import GRAPHORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, GraphormerConfig

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_graphormer import (
														    GRAPHORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
														    GraphormerForGraphClassification,
														    GraphormerModel,
														    GraphormerPreTrainedModel,
														)


else:
							import sys

							lowerCamelCase_    :			Optional[Any]    =	_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)






